BCA Internenship AI Powered Fullsatck Development
Type: Workshop
AI-Powered Full Stack Development for Beginners
From Web Fundamentals to Intelligent Applications
BEGINNER FRIENDLY • 39+ PROJECTS • 1-MONTH BCA INTERNSHIP
Program Details
- Training: 2 Weeks (Intensive)
- Internship: 1 Month (BCA)
- Timing: 9:00 AM – 4:30 PM
- Mode: Hands-on Classroom
- Certification: Internship Certificate from Mevi Technologies
Batch Information
Batch 1
Start Date: 12th January
Timing: 9:00 AM – 4:30 PM
Beginner Friendly • High Demand
Batch 2
Start Date: 19th January
Timing: 9:00 AM – 4:30 PM
Internship + Portfolio Focus
Batch 3
Start Date: 5th February
Timing: 9:00 AM – 4:30 PM
Limited Seats Available
Seats are limited • Batches fill fast • Early registration recommended
FRONTEND DEVELOPMENT
Chapter 1: HTML Fundamentals
- HTML & web basics
- Document structure
- Tags & attributes
- Links, images, tables
- Forms
- Semantic HTML
- Audio & video
- Best practices
- Mini static website
- Project folder structure
Chapter 2: CSS Fundamentals
- CSS basics
- Selectors
- Colors & fonts
- Box model
- Flexbox
- Responsive design
- Forms & buttons
- Best practices
- Responsive page
- Portfolio styling
Chapter 3: JavaScript Basics
- JS role
- Variables
- Conditions
- Loops
- Functions
- DOM
- Events
- Validation
- Mini JS project
- HTML-CSS-JS integration
Chapter 4: Bootstrap & Portfolio
- Bootstrap basics
- Grid system
- Components
- Forms
- Responsive layouts
- Icons
- Portfolio design
- Resume section
- Hosting
- GitHub portfolio
BACKEND DEVELOPMENT
Chapter 5: Python for Backend
- Python basics
- Conditions
- Loops
- Functions
- Collections
- File handling
- Virtual env
- Backend logic
- Mini programs
- Practice tasks
Chapter 6: Django Fundamentals
- Django intro
- MVT
- Project structure
- URLs
- Views
- Templates
- Static files
- Forms
- Mini projects
- Request-response
Chapter 7: Django CRUD Project
- Employee Management System
- Models
- ORM
- Admin
- Create
- Read
- Delete
- Bootstrap
- Template rendering
- Real workflow
AI & DATA
Chapter 8: Data Analysis & EDA
- Data types
- EDA
- Loading datasets
- Missing values
- Cleaning
- EDA flow
- Insights
- Visualization
- Complete EDA project
- Interpretation
Chapter 9: Data Visualization
- Matplotlib
- Line charts
- Bar charts
- Pie
- Scatter
- Histogram
- Visual insights
- Dashboards
- Visualization project
- Storytelling
Chapter 10: Machine Learning Fundamentals
- ML basics
- Types of ML
- Linear Regression
- Logistic Regression
- Training
- Evaluation
- Workflow
- Examples
- Mini ML project
- Use cases
Chapter 11: Image Processing
- Images as data
- Pillow library
- Resize
- Convert
- Grayscale
- Transformations
- Use cases
- Mini app
- Integration ideas
- Practice
Chapter 12: Deep Learning Fundamentals
- DL basics
- ML vs DL
- Neural networks
- Digit recognition
- Dataset
- Model flow
- Cat vs Dog
- Applications
- Limitations
- Scope
Chapter 13: AI + Full Stack Integration
- AI + web concept
- ML + Django
- Stock prediction
- Linear regression
- Backend logic
- Frontend form
- Prediction output
- End-to-end flow
- Classification app
- Final architecture
Project List (Expandable)
View 39+ Projects
- Personal Profile Website
- College Information Website
- Multi-page HTML Website
- Styled Login Page
- Responsive Landing Page
- Product Showcase Page
- Calculator
- Form Validation
- To-Do List
- Portfolio Website
- Student Marks Calculator
- Address Book
- Employee Record System
- Django Static Website
- Multi-page Django Site
- Employee CRUD System
- EDA Project
- Sales Analysis
- Visualization Dashboard
- House Price Prediction
- Student Performance Prediction
- Customer Classification
- Image Converter
- Image Enhancement Tool
- Digit Recognition
- Cat vs Dog Classification
- Stock Prediction Web App
- ML Web App
- AI Classification System
- End-to-End AI Web App